An Encoding-Based Back Projection Algorithm for Underground Holes Detection via Ground Penetrating Radar

摘要

As underground cavities can cause ground collapse, which will make serious threat to people's safety and property. It is of great significance to implement underground cavity inspection on urban streets and roads subgrade. In the practical application of engineering, the ground penetrating radar (GPR) has shown promising for detection of underground cavities. In this paper, we propose a novel encoding-based back projection (EBP) algorithm to detect underground holes. Our proposed method has a natural filtering function and avoids the effect of trailing, which makes the target localization more accurate. The experiments use the simulation data derived from the GPR numerical simulation software (GprMax) and the measured data collected from the Latvia radar system. And the results demonstrate that the proposed method has superior performance.